Machine Learning Engineer (Core Engineering)

Requirements 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) End-to-end hands‑on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) M.S. or PhD in Machine Learning or related areas Expertise in scalable realtime systems that process stream data Passion for applied ML and the Pinterest product (Desirable) Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring (Desirable) Familiarity with LLM‑powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration What the job involves Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas Use data driven methods and leverage the unique properties of our data to improve candidates retrieval Work in a high-impact environment with quick experimentation and product launches Keeping up with industry trends in recommendation systems #J-18808-Ljbffr